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Embarking on a vital linguistic preservation initiative, our project surveyed the diminishing popularity of rural languages across 20 states of India. Leveraging the power of Computer Science, we meticulously analyzed and visualized the data using Heatmap with Seaborn (sns) in Jupyter Notebook.

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KartikeyL/Population_Analyzer

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Diminishing_Rural_Languages

Project Overview:

India, a diverse nation of over 1.3 billion people, is home to a plethora of languages. However, many of these languages are in decline, particularly in rural areas. The Diminishing popularity of Rural Languages in India project aims to document, analyze, and provide recommendations for the preservation and revitalization of these languages.

Technologies and Tools:

  1. Visualization and mapping libraries: Matplotlib, Folium, etc.
  2. Data cleaning and manipulation tools: pandas, NumPy, Tableau etc.

Datasets and APIs:

  1. Indian Census Data (Census of India)
  2. Census Language Data (Department of Linguistics and Indian Language Society of India)

Data Processing and Analysis Workflow:

  1. Acquire and clean data from various sources
  2. Analyze language data to identify trends and patterns
  3. Geocode language data and visualize the distribution of languages across India
  4. Compare the geographical distribution of languages with other socio-economic factors to identify potential correlations
  5. Generate insights and recommendations for the preservation and revitalization of rural languages in India

Instructions to Contribute:

To contribute to this project, you can follow these steps:

  • Identify and extract relevant language data from the mentioned sources
  • Preprocess the data and handle missing values or inconsistencies
  • Perform linguistic analysis and visualize the data
  • Compare the distribution of languages with other socio-economic factors and identify potential correlations
  • Provide insights and recommendations for the preservation and revitalization of rural languages in India

About

Embarking on a vital linguistic preservation initiative, our project surveyed the diminishing popularity of rural languages across 20 states of India. Leveraging the power of Computer Science, we meticulously analyzed and visualized the data using Heatmap with Seaborn (sns) in Jupyter Notebook.

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